Edge Computing

 What is Edge Computing?

The word edge in this context means a geographic distribution. Edge computing is computing that’s done at or near the source of the data, instead of relying on the cloud at one of a dozen data centres to do all the work. It does not mean that the cloud will disappear. It means the cloud is coming to you. By placing computing services closer to these locations, users benefit from faster and more reliable services. Edge computing is one way that a company can use and distribute a common pool of resources across a large number of locations.




Why do we need edge computing?

The explosive growth and increasing computing power of IoT devices has resulted in unprecedented volumes of data. And data volumes will continue to grow as 5G networks increase the number of connected mobile devices.

 In the past, the promise of cloud and AI was to automate and speed innovation by driving actionable insight from data. But the unprecedented scale and complexity of data that’s created by connected devices has outpaced network and infrastructure capabilities.

Sending all that device-generated data to a centralized data centre or to the cloud causes bandwidth and latency issues. Edge computing offers a more efficient alternative: data is processed and analysed closer to the point where it's created. As data does not traverse over a network to a cloud or data centre to be processed, latency is significantly reduced. Edge computing — and mobile edge computing on 5G networks — enables faster and more comprehensive data analysis, creating the opportunity for deeper insights, faster response times and improved customer experiences.

 

What does the future hold for edge computing?

The potential of edge computing is extremely high, according to research firm Gartner. The firm predicted two years ago that by 2025, a whopping 75 percent of enterprise data would be generated and processed at “the edge.” They say that in five years, the majority of enterprise data could bypass the cloud entirely.

That being said, edge computing is still in its infancy and not quite ready for primetime yet. Gartner’s report admitted as much, noting that just 10 percent of enterprise data was generated and processed at the edge in 2018. 

 

Use Cases:

Some of the use cases are listed below:

1)     Autonomous vehicles – With edge computing vehicles will be able to communicate with each other with ultra-low latency.



2)     Remote monitoring of assets in the oil and gas industry - Edge computing enables real-time analytics with processing much closer to the asset, meaning there is less reliance on good quality connectivity to a centralised cloud.

 

3)     Smart grid - Sensors and IoT devices connected to an edge platform in factories, plants and offices can be used to monitor energy use and analyse their consumption in real-time.

 

4)     Predictive maintenance - IoT sensors will help monitor machine health with low latencies and perform analytics in real-time thereby avoiding machine failure.

 

5)     Healthcare - An edge on the hospital site could process data locally to maintain data privacy. Edge also enables right-time notifications to practitioners of unusual patient trends or behaviours (through analytics/AI), and creation of 360-degree view patient dashboards for full visibility.

 

6)     Virtualised radio networks and 5G (vRAN) – Edge servers can help       

the RAN hardware to do complex processing with a low latency.

 

7)     Cloud gaming - Cloud gaming companies are looking to build edge servers as close to gamers as possible in order to reduce latency and provide a fully responsive and immersive gaming experience.




8)     Content delivery - Content providers are looking to distribute Content Delivery Networks (CDNs) even more widely to the edge, thus guaranteeing flexibility and customisation on the network depending on user traffic demands.

 

9)     Smart homes - Sensitive information can be processed at the edge. As an example, the time taken for voice-based assistant devices such as Amazon’s Alexa to respond would be much faster. 

10) Traffic management – Edge computing helps in optimising bus frequency given fluctuations in demand, managing the opening and closing of extra lanes, and, in future, managing autonomous car flows.



 

Challenges:




For “the edge” to become as popular as “the cloud” in the tech industry, a large number of challenges will need to be tackled: -

 

111) These include the development of compact devices with outsized processing power.

2)2)The creation of software that enables companies to remotely monitor and update a limitless number of edge devices from across the world.

3)3) Better security technology and protocols to keep everything safe.

4)4) Over accumulation of data, if not handled properly.

Advantages

1)     Improved response times and latency across all devices.

2)     Decreased data real estate creates less risk in corporate security.

3)     Reduced bandwidth reduces transmission costs.

4)     Economy of scale through edge devices.

Disadvantages

1)   Geographic Disparities: Fewer network devices and skilled implementers.

2)   Greater difficulty preventing and monitoring security breaches.

3)   Loss of data with potential energy.

4)   Cost and storage capacity needs.

Conclusion:


Edge computing has both its advantages and disadvantages, but most IT experts agree that it isn’t going away, especially with the forecasted growth of 5G access in the near future. More users are using more kinds of devices at an incessant pace, meaning that edge computing and the way it’s used are changing frequently too. 

With edge computing, things have become even more efficient. As a result, the quality of business operations has become higher.

Edge computing is a viable solution for data-driven operations that require lightning-fast results and a high level of flexibility, depending on the current state of things.

Credits & References:  Soham Bopardikar( Team Tech Tuesday)

1)     https://en.wikipedia.org/wiki/Edge_computing

2)     https://stlpartners.com/edge_computing/

3)     https://www.ibm.com/in-en/cloud/what-is-edge-computing

4)     https://builtin.com/cloud-computing/future-edge-computing

5)     https://www.datamation.com/edge-computing

 NOTE :-

This blog is meant for Educational Purpose only .We do not own any Copyrights related to images and information , all the rights goes to their respective owners . The soul purpose of this blog is to Educate, Inspire, Empower and to create awareness in the viewers. The usage is non-commercial(Not For Profit) and we do not make any money from it.


 

 


Comments

  1. COEP BLOGSFebruary 15, 2022 at 4:13 AM

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